This paper presents a Reinforcement Learning (RL) based energy market for a prosumer dominated microgrid. The proposed market model facilitates a real-time and demanddependent dynamic pricing environment, which reduces grid costs and improves the eco...
performing for a wide range of studios, including Girlfriends Films, Brazzers, Bangbros, Blacked, Zero Tolerance, Third Degree, Deeper, Vixen, Kelly Madison Networks
deep learning sex position classifier (⭐ 290)
We want to build open-source solutions and standards for using AI to solve mental health challenges. The goal is to apply DPI knowledge and practices that can help professionals deeply explore and understand the latest advancements in AI and how they can be ap…
This research paper presents a meta-analysis of the multifaceted role of technology in mental health. The pervasive influence of technology on daily lives necessitates a deep understanding of its impact on mental health services. This study synthesiz...
* Added Deep Cuts modules: Harm, Trauma, Load, Advancement and Downtime. * Long post warning. My last post was about the modifications that I had made for a Tier 1 crew and character start with Blade...
Deep neural networks often lack the safety and robustness guarantees needed to be deployed in safety critical systems. Formal verification techniques can be used to prove input-output safety properties of networks, but when properties are difficult t...
We present new techniques to produce IRAS 12 micron samples of galaxies and stars. We show that previous IRAS 12 micron samples are incompatible for detailed comparison with ISO surveys and review their problems. We provide a stellar infrared diagn...
A new population of faint galaxies characterized by an extremely high rate of evolution with redshift up to z~1.5 has recently been discovered by ISO. These sources are likely to contribute significantly to the cosmic far-IR extragalactic backgroun...
ISO observed, for the first time to such a high sensitivity level, the mid- and far-infrared universe. A Number of deep surveys were performed to probe the cosmological evolution of galaxies. In this review, I discuss and summarize results of mid-i...
Music classification and genre detection are topics in music information retrieval (MIR) that many articles have been published regarding their utilities in the modern world. However, this contribution is insufficient in non-western music, such as Ir...
In this paper, AzarNet, a deep neural network (DNN), is proposed to recognizing seven different Dastgahs of Iranian classical music in Maryam Iranian classical music (MICM) dataset. Over the last years, there has been remarkable interest in employing...
One of the best whale watching environments lies in the protected marine park located just south of Newport Bay. Newport Landing also offers general admission deep sea fishing excursions daily â¦
I've gone pretty deep down the OpenClaw rabbithole over the last week, and I consider myself to be relatively tech-savvy but not as proficient as a lot of others in here. However, I feel like I have ...
We introduce SHEET, a multi-purpose open-source toolkit designed to accelerate subjective speech quality assessment (SSQA) research. SHEET stands for the Speech Human Evaluation Estimation Toolkit, which focuses on data-driven deep neural network-bas...
Hey Everyone, I wanted to create a megathread to document the hall effect sensor issue on the 16-S0 and 16-R0 laptops. I have done some deep investigation here and wanted to put together a compilatio...
OLANLY was founded with a singular vision: to bring exceptional quality rugs to homes everywhere. The brand emerged from a deep understanding that flooring isn't just functional—it's foundational to …
In the cutting-edge domain of medical artificial intelligence (AI), remarkable advances have been achieved in areas such as diagnosis, prediction, and therapeutic interventions. Despite these advances, the technology for image segmentation faces the...
Self-supervised learning has emerged as a powerful paradigm for training deep neural networks, particularly in medical imaging where labeled data is scarce. While current approaches typically rely on synthetic augmentations of single images, we propo...
Deep Spatial–Temporal 3D Convolutional Neural Networks for Traffic Data Forecasting, TITS 2019 (⭐ 9)